Treating infectious diseases while meeting escalating costs to do so continues to pose worldwide challenges, with one of the main issues being the ability to provide an adequate supply of drugs to treat infectious diseases.
While this may sound simple, ensuring a sufficient supply of effective drugs to each country that needs them remains a challenge until the demand for those drugs is accurately predicted and understood. A new and improved scientific method to forecast the demand for a key anti-malarial treatment may be the key for how science and economics can and should intersect to maintain low-cost, high-quality drugs to combat infectious diseases.
According to Justin Cohen, M.P.H., Ph.D., such a forecast is crucial in order to supply enough medications to meet demand -- especially since demand has the potential to rise very rapidly as old drugs lose effectiveness and governments switch to new drugs.
Dr. Cohen and his team from the Clinton Foundation started looking for patterns in how funding for drugs is disbursed around the world and used those patterns to forecast how future funding will look. The team used a similar approach to forecasting the demand for HIV/AIDS treatments in Africa. It worked so well that the team decided to set its sights on the treatment of malaria, which now affects 300-500 million people per year – 1 million of whom die from the disease. The cost to Africa's economy alone is estimated to be $12 billion per year.
The quantitative method centers on the acquisition of a chief anti-malarial ingredient, artemisinin, which comes from plants and is used in malaria treatments. One of the challenges with artemisinin-based combination therapy (ACT) is it can take up to two years for the plants to grow, extract the artemisinin and then for pharmaceutical companies to develop the drugs. If demand isn't accurately predicted, it can lead to a shortage of drugs, driving up the cost for countries to buy them. Conversely, an oversupply can lead to drugs "going bad" as they sit on the shelf past their expiration dates. This is why forecasting demand is vital.
Dr. Cohen will explore the following points at the ASTMH Annual Meeting, December 7-11 in New Orleans:
The forecast helped to support the signing of agreements with suppliers to reduce the volatility in artemisinin supply, reduce drug prices, and help ensure access to high-quality, low-cost drugs.
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